Find Academic Supervisors

• Bio-inspired artificial intelligence
• Genetic programming
• Neural networks
• +3 more

Dennis Wilson is an Assistant Professor in AI and Data Science at ISAE-SUPAERO. He holds roles as co-organizer of the Supaero Reinforcement Learning Initiative (SuReLi) and head of the Data & Decision Sciences Master’s program. He is part of the Decision Systems research group within the Department of Complex Systems Engineering. Education: PhD from Institut de Recherche en Informatique de Toulouse (IRIT) on artificial neural network design principles Prior work in the Anyscale Learning For All group at MIT’s CSAIL, focusing on wind farm optimization using evolutionary strategies Research interests include bio-inspired AI, genetic algorithms, neural networks, and evolutionary approaches to machine learning. His work bridges theoretical foundations with applied problems in complex system optimization. Grants and advising: No specific grants mentioned, but actively involved in curriculum leadership and research coordination through SuReLi and DISC groups. Labs/Teams: Member of the Decision Systems group and co-leads the SuReLi initiative.

Nico SCHMIDView profile

Assistant Professor

• Operations Management
• Logistics
• Manufacturing Systems
• +3 more

Nico SCHMID is an Assistant Professor in the Department of Operations Management at IÉSEG School of Management, France. His research focuses on operations management, logistics, manufacturing systems, and assembly systems optimization. He holds a Ph.D. in Management Sciences from Ghent University (2021), a Master in Industrial Engineering from University Duisburg-Essen (2015), and a Bachelor in Industrial Engineering from Rheinische Fachhochschule Köln (2013). His research interests include in-house logistics, production planning, and decision-making in assembly systems. He has contributed to advancing methodologies for assembly line balancing, transportation optimization, and facility sizing. His work bridges theoretical operations research with practical industrial applications, particularly in mixed-model manufacturing environments. Key contributions include studies on part feeding strategies, in-house transportation routing, and the integration of assembly line feeding with facility design. His 2022 Commended Paper Award from the International Federation of Automic Control highlights his impactful research on transportation optimization in assembly systems. Teaching: Operations Management and Managing Resources courses at IÉSEG's Grande Ecole program. Professional Experience: Research roles at Georgia Tech (2019), Ghent University (2016–2021), and teaching/research at Philipps University Marburg (2015–2016). Leveraging interdisciplinary methods, his research addresses complex challenges in production systems, aiming to enhance efficiency and adaptability in manufacturing processes.

Mikayel VARDANYANView profile

Professor

• Economics
• Quantitative Methods
• Environmental Economics
• +4 more

Mikayel VARDANYAN is a Full Professor and Head of Department at the Quantitative Methods department of the IÉSEG School of Management, France. He holds a Ph.D. in Economics from Oregon State University (2005). His academic career spans over 18 years at IÉSEG, progressing from Assistant Professor (2010–2017) to Associate Professor (2017–2023) before attaining his current rank in 2023. Prior roles include Research Associate at the University of Luxembourg (2008–2010) and Lecturer positions at SUNY Binghamton and Oregon State University (2005–2008). His research focuses on quantitative methods applied to economics, emphasizing environmental and energy economics, productivity analysis, and operational research. Notable contributions include studies on green technology transitions, energy security, and sustainability metrics. He has published extensively in journals like European Journal of Operational Research , Energy Economics , and Annals of Operations Research . His awards include the 2004 Outstanding Graduate Student Award and 2003 Outstanding Graduate Assistant Award from Oregon State University. Teaching responsibilities span Quantitative Methods courses across IÉSEG’s Grande École, International MBA, and MSc in Fashion Management programs. Recent work highlights include analyzing China’s energy transition policies, evaluating green financing mechanisms, and assessing digital technology’s role in energy efficiency. His research bridges theoretical frameworks (e.g., data envelopment analysis, directional distance functions) with applied policy evaluation, contributing to sustainable development and environmental governance.

Linda ZHANGView profile

Professor

• Operations Management
• Supply Chain Optimization
• Production Configuration
• +5 more

Professor Linda ZHANG holds the rank of Full Professor at IÉSEG School of Management in Lille, France, serving as Academic Director for the Operations Management track. She earned a Ph.D. in Industrial Engineering from Nanyang Technological University (2007) and an HDR in Management Sciences from Paris 13 University (2012). Her academic career includes visiting roles at leading institutions like the University of Science and Technology of China and Singapore Management University. Research focuses on operations management challenges: supply chain optimization, production configuration, and healthcare service design. Notable contributions include frameworks for emission trading schemes, inventory shrinkage modeling, and platform-based manufacturing systems. She has authored over 100 peer-reviewed articles and a textbook on process platforms for mass customization. Awardees of the IEOM Distinguished Service Award (2018) and multiple best paper honors. Active in interdisciplinary projects, including healthcare logistics design and digital transformation initiatives. Serves as Honorary Faculty at RMIT University and maintains collaborative ties with global institutions through grants and visiting scholar programs. Education: HDR, Management Sciences, University of Paris 13 (2012) Ph.D., Industrial Engineering, Nanyang Technological University (2007) Bachelor, Industrial Engineering, Tianjin University (1998) Grants: €750 for Finnish university collaboration (2010) €5,000 overseas visit grant (2010) €2,500 honorary scholarship (2010) Labs/Teams: Leads operations research group at IÉSEG, collaborating with industry partners on smart manufacturing and sustainable supply chain projects.

Adrien MERLINIView profile

Researcher

• Computational Electromagnetics
• Integral Equations
• Neuroimaging
• +3 more

Adrien MERLINI is a Researcher at IMT Atlantique's Microwave Department in Brest, France. His work focuses on computational electromagnetics, integral equation methods, and neuroimaging applications. He specializes in developing numerical techniques for low-to-high-frequency electromagnetic modeling, preconditioning strategies for integral equations, and machine learning-enhanced solutions for inverse problems. His research bridges fundamental theory and applied engineering, addressing challenges in medical imaging, material characterization, and high-performance computing. Key areas of expertise include: High-frequency spectral analysis of boundary integral operators Stabilized formulations for low-frequency electromagnetic simulations Supervised learning approaches for electrical source imaging Quasi-Helmholtz projector-based preconditioning techniques Fast direct solvers for integral equations His innovations in numerical methods have advanced applications in brain-computer interfaces, microwave-based medical imaging, and terahertz dosimetry. Collaborative projects include developing the simBCI framework for EEG simulation and the Pythran compiler for accelerating scientific Python codes. Research contributions span over 30 peer-reviewed articles since 2015, with recent emphases on conditioning analysis of electromagnetic integral equations and regularization strategies for neuroimaging inverse problems.

• 6G Wireless Communications
• AI/ML for Communications
• Open RAN Architectures
• +6 more

Mustapha Benjillali is a Full Professor at INPT in Morocco and holds adjunct positions at IMT Atlantique, France. He specializes in 6G wireless communications, AI-driven networking, and reconfigurable intelligent surfaces (RIS). His work spans UAV communications, non-terrestrial networks, and stochastic geometry modeling. He has authored over 100 journal/conference papers, including seminal works on RIS-enabled systems and hybrid RF/FSO architectures. As an IEEE Senior Member and ITU expert, he leads international standardization efforts and chairs major conferences like MENACOMM and IEEE UNet. His research has been recognized with multiple best paper awards and the Exemplary Editor distinction (2024). Education: Ph.D. & M.Sc. from INRS, Canada under Prof. Leszek Szczecinski Adjunct Professorships: IMT Atlantique (France) & Polytechnique Montreal (Canada) Key Contributions: Over 100 peer-reviewed publications in top journals/conferences Leadership Roles: Chair of ITU GCBI (2023-2026), Former IEEE Morocco Vice-Chair Research emphasizes 6G innovations including AI/ML integration, RIS optimization, and UAV-based networks. His teams focus on practical implementations like GoSimRIS frameworks and energy-efficient NOMA systems. Active in mentoring over 20 PhD/MSc students across multiple institutions. Teaching includes courses on 5G+ Technologies, Digital Communications, and Statistical Learning at INPT's Smart ICT Engineering program. Office hours maintained across multiple days for student engagement.

• Supply Chain Management
• Collaborative Logistics
• Inventory Management
• +4 more

Haoxun Chen is a Professor at the University of Technology of Troyes (France), specializing in Operations Research, Supply Chain Management, and Logistics. He has held academic positions worldwide, including at Xi’an Jiaotong University (China) and the National Research Institute for Information and Automation (France). His research focuses on inventory management, collaborative logistics, and optimization algorithms. Affiliations: Industrial Systems Laboratory, University of Technology of Troyes Academic Roles: Principal Investigator of Alibaba Innovative Research Project (2018–2019), Coordinator of ANR-funded Collaborative Transportation Project (2014–2019) Education: Doctorate in Systems Engineering (Xi’an Jiaotong University, 1990) Master’s in Systems Engineering (Xi’an Jiaotong University, 1987) Bachelor’s in Applied Mathematics (Fudan University, 1984) Research Interests: Optimization of supply chain systems and logistics networks Game-theoretic models for collaborative transportation Data envelopment analysis for performance evaluation Stochastic inventory models and policy design Notable Awards: World Top 2% Cited Scientist (Stanford University, 2023) National Natural Science Award (China, 2005) Alexander von Humboldt Research Fellowship (Germany, 1997–1998) Grants & Projects: ANR-funded study on Urban Collaborative Logistics (€2M+) Alibaba Research Project on Safety Stock Optimization Labs & Teams: Leads the Logistics Systems research group at the Industrial Systems Laboratory, focusing on smart inventory systems and urban freight optimization.

Nada MATTAView profile

Professor

• Knowledge Management
• Artificial Intelligence
• Crisis Management
• +5 more

Nada MATTA is a Professor at the University of Technology of Troyes (UTT), where she has held academic and leadership roles since 2000. She serves in the School of Engineering and Knowledge Management under the Department of Knowledge Engineering and Management . Her work focuses on knowledge management, artificial intelligence, crisis management, and information systems. She has held leadership positions such as Director of the Department of Human, Environment, Information, and Communication Technologies (2000–present) and Head of the Scientific Group on Supervision, Security, and Safety of Complex Systems (2008–2013). Her research interests include knowledge engineering, crisis informatics, ontology engineering, and AI-driven solutions for complex systems. She has co-supervised over 17 PhD students in areas like knowledge management, cybersecurity, and project memory systems. She is actively involved in international conferences like ISCRAM and editorial roles for journals such as AI EDAM and International Journal of Knowledge Management . Her recent projects include the REX Project Memory in Nuclear (2019–2022) and MaskMining (2018–2020), focusing on semantic web and marketing applications. She has contributed to knowledge capitalization initiatives with industries like ANDRA and Decathlon. Her work emphasizes ethical AI, crisis response systems, and sustainable development integration through ontology-based frameworks.

Leila MERGHEM-BOULAHIAView profile

Professor

• Distributed Artificial Intelligence
• Smart Grids
• IoT and Fog Computing
• +3 more

Leila MERGHEM-BOULAHIA is a Full Professor at the University of Technology of Troyes (UTT), serving as Director of the ISIFT institute and leading the Networks Axis within the LIST3N research unit. She holds a prominent role in UTT’s academic governance as an elected member of the Scientific Council and former member of the Board of the ICD laboratory. Her expertise spans distributed artificial intelligence, smart grids, IoT, and multi-agent systems. Research Focus: Her work emphasizes decentralized resource management in communication networks and smart grids using multi-agent systems and AI. Key areas include fog computing for IoT, energy-efficient mechanisms in smart buildings, and federated learning for thermal comfort analysis. Recent projects include the CIFRE thesis with Orange Labs and industrial collaborations with EMO SAS. Publications & Awards: Over 100 publications, including 36 journal articles and 71 conference papers, with two Best Paper Awards. Notable contributions include energy scheduling in smart grids and thermal comfort management using federated learning. Her students have won prestigious awards, including the regional thesis prize and public recognition at MT 180. Teaching & Leadership: Responsible for courses like RE15 (Quality of Service Networking), IF34 (IT Systems Mastery), and smart grid capsules. Supervised 11 PhD defenses and 4 ongoing theses, with 5 post-docs. Active in conference program committees (IEEE Globecom, ICC) and expert roles for ANR and ANRT. Labs & Teams: Key contributor to the ISIFT institute (focusing on IoT and smart services) and the LIST3N unit, advancing research in distributed networks and energy systems.

• Operations Research
• Industrial Engineering
• Quantum Computing Applications
• +3 more

Malak SAIEM is a researcher affiliated with the Université de Technologie de Compiègne (UTT), specializing in operations research and quantum computing applications. Her work focuses on optimization challenges in industrial engineering, particularly flow shop scheduling problems and predictive maintenance strategies for railway systems. She explores innovative solutions using quantum algorithms (e.g., Grover's algorithm) to address complex combinatorial optimization tasks. Recent research contributions include cost analysis of railway maintenance practices and enhanced quantum unconstrained binary optimization (QUBO) formulations for scheduling. Her interdisciplinary approach bridges quantum computing with transportation and manufacturing systems. No scientific awards or advisory roles are explicitly mentioned in the available data.

• Renewable Energy
• Photovoltaic Systems
• Maintenance Engineering
• +3 more

Yaxin Shen is a Researcher at the University of Technology of Troyes (UTT), specializing in renewable energy systems, particularly photovoltaic (PV) technology. Their work focuses on modeling environmental impacts such as dust accumulation and temperature fluctuations on PV panel performance, with an emphasis on optimizing maintenance strategies for solar farms. Research contributions include mathematical models for degradation prediction and condition-based maintenance policies. Key research interests include renewable energy engineering, photovoltaic system efficiency, environmental stress analysis, and energy systems optimization. Their recent publications (2022-2025) consistently address dust and thermal effects on PV performance, proposing data-driven approaches to reduce maintenance costs and improve energy output. No formal academic awards or advising roles are documented in the provided texts. The researcher's affiliation with UTT’s research directory indicates active involvement in institutional research initiatives.

• Lattice-Based Cryptography
• Post-Quantum Cryptography
• Homomorphic Encryption
• +3 more

Ron Steinfeld is an Associate Professor at Monash University's Faculty of Information Technology, where he leads research in cryptography and cybersecurity. His work focuses on lattice-based cryptography, post-quantum algorithms, and secure multiparty computation. Dr. Steinfeld has made significant contributions to NIST's post-quantum cryptography standardization process through his Titanium proposal. Recent research includes efficient discrete Gaussian samplers (FACCT, COSAC), zero-knowledge proof optimizations, and blockchain security protocols. He received the Best Paper Award at ASIACRYPT 2015 for improved security proof techniques using Renyi divergence. Dr. Steinfeld serves on program committees for major cryptography conferences including CRYPTO and ASIACRYPT. His laboratory develops practical cryptographic solutions for quantum-resistant systems, with applications in secure communications and privacy-preserving protocols. Professional activities include coordinating Monash's Cybersecurity Reading Group and collaborating with international research teams.

Simon BelieresView profile

Assistant Professor

• Operations Research
• Logistics Network Design
• Supply Chain Management
• +3 more

Simon Belieres is an Assistant Professor in the Department of Information, Operations and Management Sciences at Toulouse Business School. His research focuses on logistics network design, operations research, and optimization algorithms with applications in transportation and supply chain management. He holds a full-time academic position and is affiliated with TBS Education. Key research areas include Benders decomposition methods for stochastic programming, scheduling algorithms for automated systems, and mathematical heuristics for logistics network optimization. His work bridges theoretical optimization frameworks with practical applications in multi-product supply chains and sustainable delivery networks. Belieres' publications (2018-2025) demonstrate a strong emphasis on network design challenges, stochastic resource allocation, and algorithmic innovation. Notable contributions include partial Benders decomposition techniques, time-expanded network reduction, and metaheuristic approaches for logistics problems. His research also addresses real-world systems such as automated kitchens and urban spare part delivery networks. While no specific awards or grants are listed, his active publication record reflects continuous scholarly engagement in operations management and optimization fields.

Pedro CastilloView profile

Researcher

• Nonlinear Control
• Robust Control
• Reactive Control
• +7 more

Pedro Castillo is a DR CNRS Researcher at the Heudiasyc laboratory within the University of Technology of Compiègne, France. He leads the SyRI team (Systèmes Robotiques en Interaction) and oversees drone-related activities at the laboratory. His research focuses on nonlinear control, robust navigation, multi-agent systems, and resilient control strategies for unmanned aerial vehicles (UAVs). He has contributed significantly to the theoretical and experimental validation of control schemes for under-actuated systems, emphasizing real-time implementation on robotic platforms. His work bridges theoretical advancements and practical applications, particularly in aerial robotics and cooperative control architectures. Dr. Castillo has supervised 19 PhD students (15 defended, 3 ongoing, and 1 cotutelle), managed 29 research projects, and organized over 50 seminars at Heudiasyc. He is an Associate Editor for the IEEE Robotics and Automation Letters (2020–2024) and has participated in numerous academic committees, including ANR and HCERES evaluations. His research has resulted in over 170 scientific publications, including two influential books on aerial vehicle modeling and control. Key contributions include the design of resilient control algorithms, multi-agent coordination frameworks, and hardware prototypes such as the PVTOL, octarotor, and ROMEO quadrotor. His work has been showcased at international conferences and trade fairs, solidifying Heudiasyc's reputation as a leader in UAV control research.

Miguel ColomView profile

Senior Lecturer

• Digital Image Processing
• Signal Processing
• Satellite Design
• +3 more

Miguel Colom is a Senior Lecturer and Researcher at the Centre Borelli of École Normale Supérieure Paris-Saclay. His primary research focuses on digital image processing, including blind noise estimation, satellite design (SMOS-HR mission), and image forgery detection, with an emphasis on reproducible research practices. PhD in Image Processing, Universitat de les Illes Balears, 2014 Habilitation à Diriger des Recherches (HDR), 2019 His research interests span digital image processing, satellite technology, and ensuring reproducibility in scientific research. He has contributed to the development of tools like the Image Processing On Line (IPOL) journal, promoting open and reproducible methodologies. Colom has led efforts in the European Open Science Cloud (EOSC) to improve research software quality and recognition. His work includes detecting image forgeries via noise analysis and advancing satellite imaging technologies. Recent research highlights include a Best Paper Award for 'NoiseSniffer' (2021) and supervising PhD student Tina Nikoukhah, recipient of the 2023 Thesis Prize GDR Sécurité Informatique. His articles address topics such as reproducible research policies, synthetic image detection, and noise estimation in video signals. Scientific Awards: Best Paper Award at the 9th IEEE International Workshop on Biometrics and Forensics (2021) Advising: Supervised Tina Nikoukhah’s thesis on JPEG forgery detection Colom is a board member of the IAPR-TC18 and TC22 (Reproducibility), and chairs the Reproducible Research track at the 2026 ICPR conference. He leads IPOL’s demo system technical direction and participates in EOSC initiatives to standardize research software infrastructure.